Probabilistic and deterministic algorithms for space multidimensional irregular porous media equation

被引:0
作者
Belaribi N. [1 ,2 ]
Cuvelier F. [1 ]
Russo F. [2 ]
机构
[1] Laboratoire d’Analyse, Géométrie et Applications (LAGA), Université Paris 13, 99, avenue Jean-Baptiste Clément, Villetaneuse
[2] ENSTA ParisTech, Unité de Mathématiques appliquées, 828, boulevard des Maréchaux, Palaiseau
关键词
Kernel estimator; Monotonicity; Non-parametric density estimation; Porous media equation; Stochastic differential equations; Stochastic particle algorithm;
D O I
10.1007/s40072-013-0001-7
中图分类号
学科分类号
摘要
The object of this paper is a multi-dimensional generalized porous media equation (PDE) with not smooth and possibly discontinuous coefficient β, which is well-posed as an evolution problem in L1 (ℝd ). This work continues the study related to the one-dimensional case by the same authors. One expects that a solution of the mentioned PDE can be represented through the solution (in law) of a non-linear stochastic differential equation (NLSDE). A classical tool for doing this is a uniqueness argument for some Fokker–Planck type equations with measurable coefficients. When β is possibly discontinuous, this is often possible in dimension d = 1. If d > 1, this problem is more complex than for d = 1. However, it is possible to exhibit natural candidates for the probabilistic representation and to use them for approximating the solution of (PDE) through a stochastic particle algorithm. We compare it with some numerical deterministic techniques that we have implemented adapting the method of a paper of Cavalli et al. whose convergence was established when β is Lipschitz. Special emphasis is also devoted to the case when the initial condition is radially symmetric. On the other hand assuming that β is continuous (even though not smooth), one provides existence results for a mollified version of the NLSDE and a related partial integro-differential equation, even if the initial condition is a general probability measure. © Springer Science+Business Media New York 2013.
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页码:3 / 62
页数:59
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